A Novel Sooty Terns Algorithm for Deregulated MPC-LFC Installed in Multi-Interconnected System with Renewable Energy Plants

A Novel Sooty Terns Algorithm for Deregulated MPC-LFC Installed in Multi-Interconnected System with Renewable Energy Plants

This paper introduces a novel metaheuristic approach of sooty terns optimization algorithm (STOA) to determine the optimum parameters of model predictive control (MPC)-based deregulated load frequency control (LFC). The system structure consists of three interconnected plants with nonlinear multisou...

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Bibliographic Details
Main Authors: Hossam Hassan Ali, Ahmed Fathy, Abdullah M. Al-Shaalan, Ahmed M. Kassem, Hassan M. H. Farh, Abdullrahman A. Al-Shamma’a, Hossam A. Gabbar
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Energies
Subjects:
deregulated LFC
renewable energy
model predictive control
sooty terns optimization
Online Access:https://www.mdpi.com/1996-1073/14/17/5393

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